Segmental Motion Detection

A Python-based segmental motion detection system that uses OpenCV to identify and highlight movement within a video feed. The program divides the video frame into segments and detects movement based on statistical changes in pixel values.

Features

• Segmental Analysis: The video frame is divided into segments for detailed motion analysis.
• Motion Detection: Detects and highlights movement in the video feed based on changes in pixel values.
• Configurable Settings: Adjust the number of segments, detection threshold, and recording delay time using trackbars.
• Recording Status: Displays 'RECORDING' or 'IDLE' status based on detected movement.

Code Overview

SegmentalMotionDetection Class

• __init__(self, segments=20, threshold=10, delay_seconds=3): Initializes the class with the number of segments, threshold, and delay time.
• segment_calculation(self, frame): Calculates the average and standard deviation of pixel values in each segment.
• detect_movement(self, previous_stats, current_stats): Compares the average and standard deviation of pixel values in each segment to detect movement.
• run(self): Runs the motion detection demonstration.
• update_threshold(self, threshold_value): Updates the threshold value.
• update_segments(self, segments_value): Updates the number of segments.
• update_delay(self, delay_value): Updates the delay time.

main()

• Initializes and runs the SegmentalMotionDetection demonstration.

License

This project is licensed under the MIT License.

Author

James Bebarski